Dr. Kun Zhang

Biography

Kun Zhang is a Professor in the Department of Philosophy at Carnegie Mellon University. He is also an affiliate faculty member of the Machine Learning Department. His research focuses on machine learning and artificial intelligence, particularly in the areas of causal discovery and causality-based learning. Zhang develops methods for automated causal discovery from various types of data, explores learning issues related to transfer learning and deep learning through a causal lens, and examines the philosophical underpinnings of causation in machine learning. His applied interests encompass areas such as neuroscience, computational finance, and climate analysis. Zhang's research includes causal discovery theory, algorithms, and applications, practical computational methods for inference, and statistical machine learning applications from a causal standpoint. He investigates domain adaptation and transfer learning in nonstationary environments, as well as various models including kernel distribution embedding and Gaussian processes.

Research Interests